DOI: https://doi.org/10.36719/2789-6919/44/201-204
Israil Mammadov
Azerbaijan Technological Univesrsity
PhD in technique
https://orcid.org/0009-0001-9703-7007
memmedovisrayıl19@gmail.com
Tamasha Aliyeva
Azerbaijan Technological Univesrsity
Master student
https://orcid.org/0009-0007-3298-3661
tamashaaliyeva1@gmail.com
Future prospects of integration of Artificial Intelligence with Automatic Diagnostics in the Telecommunications Industry
Abstract
The telecommunications industry has become one of the main centers of technological revolutions in recent years. With the expansion of networks, the introduction of 5G technology, and the spread of cloud technologies, telecommunications infrastructures have become more complex and dynamic. To manage this complexity and quickly detect and resolve problems, artificial intelligence and automatic diagnostic systems are becoming increasingly important. Automatic diagnostic systems use artificial intelligence algorithms to detect failures and performance problems in telecommunications networks in real time. These systems can accurately identify the source of problems by analyzing network logs, sensor data, and user complaints.
Keywords: Artificial intelligence algorithms, automatic diagnostics, supervised learning, OTDR device, network technologies